Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia
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Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
2
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
3
School of Life Sciences and School of Sustainability, Arizona State University, Tempe, AZ 85287, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(4), 1135; https://doi.org/10.3390/su10041135
Received: 20 March 2018
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Revised: 6 April 2018
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Accepted: 7 April 2018
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Published: 10 April 2018
(This article belongs to the Special Issue Defining and Assessing Landscape and Urban Sustainability: Linking Spatial Patterns, Ecosystems Services, and Human Wellbeing)
Ordos became the new “coal capital” of China within a few decades since the country’s economic reform in 1978, as large-scale surface coal mining dramatically propelled its per capita GDP from being one of the lowest to one of the highest in China, exceeding Hong Kong in 2009. Surface coal-mining areas (SCMAs) have continued to expand in this region during recent decades, resulting in serious environmental and socioeconomic consequences. To understand these impacts and promote regional sustainability, quantifying the spatiotemporal patterns of SCMAs is urgently needed. Thus, the main objectives of this study were to quantify the spatiotemporal patterns of SCMAs in the Ordos region from 1990 to 2015, and to examine some of the major environmental and socioeconomic impacts in the study region. We extracted the SCMAs using remote-sensing data, and then quantified their spatiotemporal patterns using landscape metrics. The loss of natural habitat and several socioeconomic indicators were examined in relation to surface coal mining. Our results show that the area of SCMAs increased from 7.12 km2 to 355.95 km2, an increase of nearly 49 times from 1990 to 2015 in the Ordos region. The number of SCMAs in this region increased from 82 to 651, a nearly seven-fold increase. In particular, Zhungeer banner (an administrative division), Yijinhuoluo banner, Dongsheng District and Dalate banner in the north-eastern part of the Ordos region had higher growth rates of SCMAs. The income gap between urban and rural residents increased along with the growth in SCMAs, undermining social equity in the Ordos region. Moreover, the rapid increase in SCMAs resulted in natural habitat loss (including grasslands, forests, and deserts) across this region. Thus, we suggest that regional sustainability in Ordos needs to emphasize effective measures to curb large-scale surface coal mining in order to reduce the urban–rural income gap, and to restore degraded natural ecosystems.
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Keywords:
surface coal-mining area; spatiotemporal patterns; environmental sustainability; socioeconomic conditions; Ordos
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MDPI and ACS Style
Zeng, X.; Liu, Z.; He, C.; Ma, Q.; Wu, J. Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia. Sustainability 2018, 10, 1135. https://doi.org/10.3390/su10041135
AMA Style
Zeng X, Liu Z, He C, Ma Q, Wu J. Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia. Sustainability. 2018; 10(4):1135. https://doi.org/10.3390/su10041135
Chicago/Turabian StyleZeng, Xiaoji, Zhifeng Liu, Chunyang He, Qun Ma, and Jianguo Wu. 2018. "Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia" Sustainability 10, no. 4: 1135. https://doi.org/10.3390/su10041135
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